Microsectors Fang Index Etf Market Value

FNGD Etf  USD 16.52  0.12  0.72%   
MicroSectors FANG's market value is the price at which a share of MicroSectors FANG trades on a public exchange. It measures the collective expectations of MicroSectors FANG Index investors about its performance. MicroSectors FANG is trading at 16.52 as of the 22nd of November 2024, a 0.72% down since the beginning of the trading day. The etf's lowest day price was 16.22.
With this module, you can estimate the performance of a buy and hold strategy of MicroSectors FANG Index and determine expected loss or profit from investing in MicroSectors FANG over a given investment horizon. Check out MicroSectors FANG Correlation, MicroSectors FANG Volatility and MicroSectors FANG Alpha and Beta module to complement your research on MicroSectors FANG.
Symbol

The market value of MicroSectors FANG Index is measured differently than its book value, which is the value of MicroSectors that is recorded on the company's balance sheet. Investors also form their own opinion of MicroSectors FANG's value that differs from its market value or its book value, called intrinsic value, which is MicroSectors FANG's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because MicroSectors FANG's market value can be influenced by many factors that don't directly affect MicroSectors FANG's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between MicroSectors FANG's value and its price as these two are different measures arrived at by different means. Investors typically determine if MicroSectors FANG is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MicroSectors FANG's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

MicroSectors FANG 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to MicroSectors FANG's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of MicroSectors FANG.
0.00
10/23/2024
No Change 0.00  0.0 
In 31 days
11/22/2024
0.00
If you would invest  0.00  in MicroSectors FANG on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding MicroSectors FANG Index or generate 0.0% return on investment in MicroSectors FANG over 30 days. MicroSectors FANG is related to or competes with MicroSectors FANG, Direxion Daily, Direxion Daily, and Direxion Daily. The notes are intended to be daily trading tools for sophisticated investors to manage daily trading risks as part of an... More

MicroSectors FANG Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure MicroSectors FANG's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess MicroSectors FANG Index upside and downside potential and time the market with a certain degree of confidence.

MicroSectors FANG Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for MicroSectors FANG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MicroSectors FANG's standard deviation. In reality, there are many statistical measures that can use MicroSectors FANG historical prices to predict the future MicroSectors FANG's volatility.
Hype
Prediction
LowEstimatedHigh
12.3616.5520.74
Details
Intrinsic
Valuation
LowRealHigh
12.2716.4620.65
Details
Naive
Forecast
LowNextHigh
13.2617.4521.64
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
14.9017.1119.33
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as MicroSectors FANG. Your research has to be compared to or analyzed against MicroSectors FANG's peers to derive any actionable benefits. When done correctly, MicroSectors FANG's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in MicroSectors FANG Index.

MicroSectors FANG Index Backtested Returns

MicroSectors FANG Index has Sharpe Ratio of -0.12, which conveys that the entity had a -0.12% return per unit of risk over the last 3 months. MicroSectors FANG exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify MicroSectors FANG's Mean Deviation of 3.16, risk adjusted performance of (0.05), and Standard Deviation of 4.37 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of -3.37, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning MicroSectors FANG are expected to decrease by larger amounts. On the other hand, during market turmoil, MicroSectors FANG is expected to outperform it.

Auto-correlation

    
  0.46  

Average predictability

MicroSectors FANG Index has average predictability. Overlapping area represents the amount of predictability between MicroSectors FANG time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of MicroSectors FANG Index price movement. The serial correlation of 0.46 indicates that about 46.0% of current MicroSectors FANG price fluctuation can be explain by its past prices.
Correlation Coefficient0.46
Spearman Rank Test-0.19
Residual Average0.0
Price Variance0.22

MicroSectors FANG Index lagged returns against current returns

Autocorrelation, which is MicroSectors FANG etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting MicroSectors FANG's etf expected returns. We can calculate the autocorrelation of MicroSectors FANG returns to help us make a trade decision. For example, suppose you find that MicroSectors FANG has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

MicroSectors FANG regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If MicroSectors FANG etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MicroSectors FANG etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MicroSectors FANG etf over time.
   Current vs Lagged Prices   
       Timeline  

MicroSectors FANG Lagged Returns

When evaluating MicroSectors FANG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MicroSectors FANG etf have on its future price. MicroSectors FANG autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, MicroSectors FANG autocorrelation shows the relationship between MicroSectors FANG etf current value and its past values and can show if there is a momentum factor associated with investing in MicroSectors FANG Index.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether MicroSectors FANG Index is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if MicroSectors Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Microsectors Fang Index Etf. Highlighted below are key reports to facilitate an investment decision about Microsectors Fang Index Etf:
Check out MicroSectors FANG Correlation, MicroSectors FANG Volatility and MicroSectors FANG Alpha and Beta module to complement your research on MicroSectors FANG.
You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
MicroSectors FANG technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.
A focus of MicroSectors FANG technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of MicroSectors FANG trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...